Forecasting
Resampling is a statistical method used to repeatedly draw samples from a data set to assess the variability of a statistic and generate estimates of uncertainty. This technique helps to create new samples from the original data, allowing for better estimates when the available data is limited. It plays a vital role in bootstrapping methods, as it enables researchers to simulate the sampling distribution of a statistic, leading to improved inference and predictions.
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